Rebekah+Ihlefeldt

Room: **Cocoa 5**

=**Rebekah Ihlefeldt**=
 * **Mountain View School District**
 * rihlefeldt@mvsd.net
 * **Algebra**

**Linear Regression Models For Algebra II**
Algebra students work in small groups to plot data using Geogebra. Students will be able to determine correlation based on what they see happening to Y when X is increased. They will develop definitions for positive, negative and no correlation and will discover the relationship between correlation and slope. Each group will then collect data, graph the data, and find the line that best fits using the concepts of correlation and slope. After the group's hypothesis is approved, the students will be given their data and use Geogebra to create a scatter plot and a line of best fit. After graphing they will interpret their data and write a conclusion.

media type="custom" key="7476843" media type="custom" key="7495397"
 * Below is a document that delineates the pieces of this lesson broken down into the components of Project Based Learning: **
 * SAS Alignment:**

5Ws & H Sheet media type="custom" key="7476897" Proposal Plan Sheet media type="custom" key="7476939" Proposal Plan RUBRIC media type="custom" key="7476955"
 * Below are the materials the students receive at each point of the lesson process:**

Soda Consumption vs. Cavities Absences vs. GPA Facebook Time vs. GPA
 * Student Work Example Proposals:**

Survey Instrument Peer Review RUBRIC media type="custom" key="7484169"


 * Student Work Example Survey Instruments:**

Facebook Time vs. GPA

Geogebra Assignment Sheet media type="custom" key="7484141" Geogebra Lesson Sheet media type="custom" key="7494429"

Heights vs. Pulse Rates media type="custom" key="7494951"
 * Student Work Samples:**

Data set:

Male vs. Female Unemployment media type="custom" key="7495007"

Data set:

Oral Presentation Rubric: media type="custom" key="7495609"